Generating LADs that Make Sense

Madjid Sadallah, Jean-Marie Gilliot

2023

Abstract

Learning Analytics Dashboards (LADs) deliver rich and actionable representations of learning data to support meaningful and insightful decisions that ultimately leverage the learning process. Yet, because of their limited adoption and the complex nature of learning data, their design is still a major area of inquiry. In this paper, we propose to expand LAD codesign approaches. We first investigate how the user makes sense of the data delivered by LADs and how to support this sensemaking process at design. Second, we propose a generative tool, supporting sensemaking and decision making process, that extends end-users participation during the prototyping phase and empowers LAD designers. We also present an evaluation of the tool, including usability and user experience, demonstrating its effectiveness in supporting the design and prototyping of LADs.

Paper Citation

in Harvard Style

Sadallah M. and Gilliot J. (2023). Generating LADs that Make Sense. In Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-641-5, SciTePress, pages 35-46. DOI: 10.5220/0011839800003470

in Bibtex Style

@conference{csedu23,
author={Madjid Sadallah and Jean-Marie Gilliot},
title={Generating LADs that Make Sense},
booktitle={Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2023},
pages={35-46},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011839800003470},
isbn={978-989-758-641-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Generating LADs that Make Sense
SN - 978-989-758-641-5
AU - Sadallah M.
AU - Gilliot J.
PY - 2023
SP - 35
EP - 46
DO - 10.5220/0011839800003470
PB - SciTePress